Spatial and Temporal Investigation of Dew Potential based on Long-Term Model Simulations in Iran

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http://hdl.handle.net/10138/307979

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Atashi, N.; Rahimi, D.; Goortani, B.M.; Duplissy, J.; Vuollekoski, H.; Kulmala, M.; Vesala, T.; Hussein, T. Spatial and Temporal Investigation of Dew Potential based on Long-Term Model Simulations in Iran. Water 2019, 11, 2463.

Title: Spatial and Temporal Investigation of Dew Potential based on Long-Term Model Simulations in Iran
Author: Atashi, Nahid; Rahimi, Dariush; Goortani, Behnam M.; Duplissy, Jonathan; Vuollekoski, Henri; Kulmala, Markku; Vesala, Timo; Hussein, Tareq
Publisher: Multidisciplinary Digital Publishing Institute
Date: 2019-11-23
URI: http://hdl.handle.net/10138/307979
Abstract: Since water shortage has been a serious challenge in Iran, long-term investigations of alternative water resources are vital. In this study, we performed long-term (1979–2018) model simulation at seven locations (costal, desert, mountain, and urban conditions) in Iran to investigate temporal and spatial variation of dew formation. The model was developed to simulate the dew formation (water and ice) based on the heat and mass balance equation with ECMWF-ERA-Interim (European Centre for Medium-Range Weather Forecasts–Re-Analysis) meteorological data as input. According to the model simulation, the maximum mean yearly cumulative dew yield (~65 L/m<sup>2</sup>) was observed in the mountain region in the north part of Iran with a yearly mean cumulative dew yield was ~36 L/m<sup>2</sup>. The dew yield showed a clear seasonal variation at all selected locations with maximum yields in winter (mean monthly cumulative 3–8 L/m<sup>2</sup> depending on the location). Here we showed that dew formation is frequent in northern Iran. In other areas, where there was suffering from water-stress (southern and central parts of Iran), dew can be a utilized as an alternative source of water. The dew yield during 2001–2014 was lower than the overall mean during the past 40 years a result of climate change in Iran.


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